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蒙特利尔认知评估:来自瑞典一个大型基于人群队列的常模数据。

The Montreal Cognitive Assessment: Normative Data from a Large Swedish Population-Based Cohort.

作者信息

Borland Emma, Nägga Katarina, Nilsson Peter M, Minthon Lennart, Nilsson Erik D, Palmqvist Sebastian

机构信息

Department of Clinical Sciences, Clinical Memory Research Unit, Malmö, Lund University, Sweden.

Department of Neurology, Skåne University Hospital, Sweden.

出版信息

J Alzheimers Dis. 2017;59(3):893-901. doi: 10.3233/JAD-170203.

DOI:10.3233/JAD-170203
PMID:28697562
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5545909/
Abstract

BACKGROUND

The Montreal Cognitive Assessment (MoCA) has a high sensitivity for detecting cognitive dysfunction. Swedish normative data does not exist and international norms are often derived from populations where cognitive impairment has not been screened for and not been thoroughly assessed to exclude subjects with dementia or mild cognitive impairment.

OBJECTIVE

To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort.

METHODS

MoCA was administered on 860 randomly selected elderly people from a population-based cohort from the EPIC study. Cognitive dysfunction was screened for and further assessed at a memory clinic. After excluding cognitively impaired participants, normative data was derived from 758 people, aged 65-85.

RESULTS

MoCA cut-offs (-1 to -2 standard deviations) for cognitive impairment ranged from <25 to <21 for the lowest educated and <26 to <24 for the highest educated, depending on age group. Significant predictors for MoCA score were age, sex and level of education.

CONCLUSION

We present detailed normative MoCA data and cut-offs according to the DSM-5 criteria for cognitive impairment based on a large population-based cohort of elderly individuals, screened and thoroughly investigated to rule out cognitive impairment. Level of education, sex, and age should be taken in account when evaluating MoCA score, which is facilitated by our online regression-based calculator that provide percentile and z-score for a subject's MoCA score.

摘要

背景

蒙特利尔认知评估量表(MoCA)在检测认知功能障碍方面具有较高的敏感性。瑞典尚无该量表的常模数据,而国际常模通常来自未对认知障碍进行筛查且未对排除痴呆或轻度认知障碍患者进行全面评估的人群。

目的

建立MoCA量表的常模,并基于一个经过充分检查的大型队列开发基于回归的常模计算器。

方法

对来自EPIC研究的基于人群队列中随机选取的860名老年人进行MoCA测试。在记忆门诊对认知功能障碍进行筛查并进一步评估。排除认知受损参与者后,从758名年龄在65 - 85岁的人群中得出常模数据。

结果

根据年龄组不同,认知障碍的MoCA临界值(-1至-2个标准差),受教育程度最低者为<25至<21,受教育程度最高者为<26至<24。MoCA得分的显著预测因素为年龄、性别和教育水平。

结论

我们基于一个经过筛查和全面调查以排除认知障碍的大型老年人群队列,根据DSM - 5认知障碍标准给出了详细的MoCA常模数据和临界值。在评估MoCA得分时应考虑教育水平、性别和年龄,我们基于回归的在线计算器可为受试者的MoCA得分提供百分位数和z分数,便于评估。

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